What is the importance of p-values in research?

What is the importance of p-values in research?

P-values help determine the statistical significance of results in research, indicating whether findings are likely due to chance.

Can you explain how to interpret p-values?

Sure! A p-value less than 0.05 typically suggests that the results are statistically significant, meaning there's strong evidence against the null hypothesis.

What are the limitations of using p-values?

P-values can be misleading; they don't measure the size of an effect or the importance of a result, and they can be influenced by sample size.

How do researchers avoid misusing p-values?

Researchers can avoid misuse by reporting confidence intervals, using effect sizes, and considering the context of their findings.

Are there alternatives to p-values?

Yes, alternatives include Bayesian methods, confidence intervals, and effect sizes, which can provide a more comprehensive view of data.